Towards TSL uncertainty
Résumé
This work introduces the TARA (Thermal scattering law uncertainty Analysis using RAndom files) project, a new initiative at ASNR addressing the critical gap in thermal scattering law (TSL) uncertainty quantification for nuclear data libraries. This project, which is part of the EU APRENDE program, develops a tool for generating physically constrained random TSL files by sampling against experimental and simulation reference data, including phonon spectra, specific heat capacity, and diffusion coefficients. Using graphite as a demonstration case, two distinct sampling strategies are presented: blind sampling across multiple available TSL evaluations (crystalline, 10%, 20%, 30% porosity) and restricted sampling with peak position perturbations of crystalline graphite. Results show that procedural choices dramatically affect uncertainty estimates, with cross-section variations ranging from 8% to 120% depending on the sampling methodology. This work establishes a framework for propagating TSL uncertainties to reactivity calculations in criticality safety benchmarks, ultimately quantifying the impact on k-effective values and reactor simulations.
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